I'm a beginner planning to run more than 40 separate React applications on one cloud server. Each app is independent and needs its own isolated deployment environment, although none of them has a backend. I want to update or redeploy apps individually while keeping memory usage and operational complexity low. This is a personal, non-HA setup, so occasional downtime is acceptable. Would Docker Compose be more efficient and simpler than k3s on a single machine? Are there practical ways to reduce per-app overhead, and are there container-count limits I should worry about?
3 Answers
First determine whether these apps need runtime processes at all. A normal React app is compiled into static HTML, JavaScript, and CSS, so the dependencies and isolation matter during the build—not while serving the finished files. Build each app independently, store its output in a separate directory, and use one Nginx or Caddy instance with different paths or hostnames. That avoids running 40 Node or web-server processes while still keeping deployments separate.
If every app genuinely needs its own runtime, Docker Compose is the sensible starting point for a single server. Use one reverse proxy, separate services, health checks, image tags tied to releases, and memory/CPU limits for each app. k3s can be useful if you specifically want Kubernetes workflows, GitOps, or a likely move to multiple nodes, but on one machine it mostly adds another control and debugging layer.
Since these are separate personal apps rather than one production system, I would avoid optimizing for Kubernetes before measuring the actual resource usage. Keep the build and deployment pipelines isolated, but serve static artifacts together if possible. If you later add server-side rendering or backends, Compose still gives you a straightforward migration path toward more orchestration.
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